Learning Cognitive Access Control Service

2. The method of claim 1, wherein the access control mechanism for the protected object is automatically modified for a limited amount of time.

3. The method of claim 1, wherein the access control mechanism utilizes an Identity Based Access Control (IBAC) and Access Control Lists (ACLs), Role Based Access Control (RBAC), Attribute Based Access Control (ABAC), or Next Generation Access Control (NGAC).

5. The method of claim 1, wherein the modified access control mechanism is a conditional modification.

8. The method of claim 1, wherein determining the analysis result associated with whether to grant the subject access to the protected object includes identifying a first, a second, a third, and a fourth order effect included the plurality of predicted consequential effects determined using at least a portion of the one or more machine learning models.

9. The method of claim 1, wherein determining the analysis result associated with whether to grant the subject access to the protected object includes creating a graphical representation of a current system context, wherein the current system context includes details extracted from the current system state and the context of the request by the subject.

10. The method of claim 1, wherein automatically modifying the access control mechanism for the protected object based on the analysis result includes providing a justification of the modification, wherein the justification is based on a system policy.

12. The system of claim 11, wherein the access control mechanism for the protected object is automatically modified for a limited amount of time.

13. The system of claim 11, wherein the access control mechanism utilizes an Identity Based Access Control (IBAC) and Access Control Lists (ACLs), Role Based Access Control (RBAC), Attribute Based Access Control (ABAC), or Next Generation Access Control (NGAC).

17. The system of claim 11, wherein determining the analysis result associated with whether to grant the subject access to the protected object includes identifying a first, a second, a third, and a fourth order effect included the plurality of predicted consequential effects determined using at least a portion of the one or more machine learning models.

18. The system of claim 11, wherein determining the analysis result associated with whether to grant the subject access to the protected object includes creating a graphical representation of a current system context, wherein the current system context includes details extracted from the current system state and the context of the request by the subject.

19. The system of claim 11, wherein automatically modifying the access control mechanism for the protected object based on the analysis result includes providing a justification of the modification, wherein the justification is based on a system policy.